Guangyu Xiang — accepted AI-conference papers

2024

Multi-Teachers Distillation Strategy for Target-Oriented Collision-Free Grasping in Clutter

Wei Du, Shaodong Li, Guangyu Xiang, Fang Gao, Feng Shuang

RA-L 2024

Grasping a target object in the cluttered environment is challenging due to potential collisions. Taking pre-grasp manipulations such as pushing, sliding and poking is an effective way to singulate the target. However, the success rate is heavily affected by the dimension disaster derived from compl

Cited by 5 Source ↗Scholar ↗

2024

SC-AIRL: Share-Critic in Adversarial Inverse Reinforcement Learning for Long-Horizon Task

Guangyu Xiang, Shaodong Li, Feng Shuang, Fang Gao, Xiaogang Yuan

RA-L 2024

Adversarial Inverse Reinforcement Learning (AIRL) has gained popularity as an alternative to supervised imitation learning, addressing the distributional bias issue of the latter. However, it still faces significant challenges in long-horizon tasks due to the lack of effective exploration. In our le

Cited by 9 Source ↗Scholar ↗